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Suzuki (Ayako) Lab (Medical Omics Analysis Division, Center for Life Data Science)
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The lab uses large-scale sequencing to decode cancer genomes, with a focus on lung cancer.
AboutAbout the lab
Revealing the characteristics of cancer with the latest sequencing technology
The Suzuki (Ayako) Lab uses the latest large-scale sequencing technologies to analyze cancer genomes and multi-omics data, aiming to clarify the characteristics of cancer cells.
Its analyses focus in particular on lung cancer.
The lab carries out both experiments and computational analysis in-house, and aims to develop new methods for classifying cancers.
It holds a joint lab seminar once a week and a group meeting once a week.
Key terms
- Omics
- Comprehensive investigation of molecular information within cells, such as the genome (DNA), epigenome, and transcriptome (RNA)
- Long-read sequencing
- A sequencing method that reads long stretches of DNA at once. It can detect structures that are difficult to identify with methods that read short fragments.
- Single-cell sequencing
- A method that separates cells and reads out gene activity and other features of each one individually, revealing differences between cells.
NewsLab news
Paper selected for Editors' Highlights in Nature Communications
Paper selected for Best of Cell Reports 2023 in Cell Reports
Molecular changes accompanying malignant progression of lung cancer revealed (press release)
ResearchResearch themes
The lab aims to examine abnormalities in cancer genomes in detail and clarify how they affect gene function and the properties of cancer cells. By combining experiments with computational analysis, and basic genome science with tumor biology, it works to understand the mechanisms of cancer.
*Illustrative imageCancer Genome Analysis
Focusing on lung cancer, the lab uses technologies such as long-read sequencing to closely examine structural abnormalities in cancer genomes that have been hard to detect until now, and to clarify how they affect the properties of cancer cells.
*Illustrative imageCancer Multi-Omics Analysis
The lab collects and integrates genomic, epigenomic, and transcriptomic data from cultured cells and clinical specimens to classify cancer cells in new ways. It also examines the heterogeneity of cancer tissue using single-cell sequencing and spatial omics analysis.
*Illustrative imageLong-Read Analysis of Cancer Genomes
Using nanopore sequencers and similar tools, the lab reads in detail the structure of cancer genomes that is hard to see with conventional analysis, which reads DNA in short fragments. By combining this with multi-omics analysis, it clarifies their effects.
MembersFaculty
The members of the Suzuki (Ayako) Lab consist of faculty, doctoral students, and master's students.As of 2026
- ProfessorAyako Suzuki
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images.
- Top image: “A City in 3D - Tumor and Stromal Cells Claim Their Space” YantsenY / CC BY 4.0 (cropped)
- Cancer Genome Analysis: “Lung adenocarcinoma with lepidic growth - low magnification” Ed Uthman from Houston, TX, USA / CC BY 2.0 (cropped)
- Cancer Multi-Omics Analysis: “Single Cell RNA Seq (NIH BioArt 767)” NIAID (Ryan Kissinger) / Public domain (cropped)
- Long-Read Analysis of Cancer Genomes: “Nanopore Sequencing ( )” National Human Genome Research Institute (NHGRI) from Bethesda, MD, USA / CC BY 2.0 (cropped)
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